f​oundations ' course

Excellent course !!!

Very good quality.

very informative

Amazing Course!

amazing course

useful course

Great course!

Good Course

Thank you

This course starts from fundamental level. The instructors clearly explains statistical methods such as mean, variance, standard deviation, variance etc with python source code on a simple data set. Then they have explained plotting with labels and finally how to apply k-means clustering on bank note authentication dataset.

I would highly recommend this course for any beginners. it simply suits both the first timers and people who wish to further existing knowledge and understanding of Python and data science to another level. enjoyable homebased learning.

First 4 weeks very good (you learn enough and there are interesting topics), last week very "backloaded" half the course I would say. Also you dont get to do your ow project but is given a topic which i did not like. very good overall.

Clear instructions and explanations. Could be a little more details on the algorithm. Makes it a very good course for "getting things done". If you are interested in what goes on under the hood though this might not be for you.

It was a great journey to get through it. Thanks a lot to all the instructors for their valuable job and effort :)

one can learn from basics . and thet can gain knowledge

Good content and I would recommend my friends for it.

A​n introductory course all together.

Very good if new to data science

Nice course for New learner

GREAT COURSE!

Good introduction to k-means clustering using Python. Easy for follow.

You should be able to transcribe the code which is presented into Jupyter Notebooks as is. This is now the second time I have done so and I am guessing some of the needed code was left out as the code does not work. How can students be expected to complete assignments when the Instructor's code is not reproducible?